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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation ICCV 2021 An Empirical Study of Training Self-Supervised Vision Transformers ICCV 2021 An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter ACL 2021 An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems Interspeech 2021 An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021 An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing EMNLP 2021 An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming ICML 2021 An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization ACL 2021 An Enhanced Advising Model in Teacher-Student Framework using State Categorization AAAI 2021 An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract) AAAI 2021 A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms MLHC 2021 An Expert Annotated Dataset for the Detection of Online Misogyny EACL 2021 An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021 An Identifiable Double VAE For Disentangled Representations ICML 2021 An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild NeurIPS 2021 An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation Interspeech 2021 An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition Interspeech 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 An Information-theoretic Approach to Distribution Shifts NeurIPS 2021 An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021 An Integrated Framework for Two-Pass Personalized Voice Trigger Interspeech 2021 An Investigation of Language Model Interpretability via Sentence Editing EMNLP 2021 An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis EMNLP 2021